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Evaluation of computer‐based training and high‐fidelity simulation to improve early recognition of sepsis on the adult general ward
This quality improvement project involved developing, implementing and evaluating an educational intervention using computer‐based training (CBT) and high‐fidelity simulation (HFS) to increase knowledge, confidence and compliance of nurses identifying sepsis. A one‐group pretest‐posttest design was...
Autores principales: | , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
John Wiley and Sons Inc.
2023
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10277437/ https://www.ncbi.nlm.nih.gov/pubmed/36879447 http://dx.doi.org/10.1002/nop2.1718 |
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author | Marsack, William J. De Gagne, Jennie C. Reid, Joseph Pakieser‐Reed, Katherine Francisco, Mary Ann Kang, Hee Sun |
author_facet | Marsack, William J. De Gagne, Jennie C. Reid, Joseph Pakieser‐Reed, Katherine Francisco, Mary Ann Kang, Hee Sun |
author_sort | Marsack, William J. |
collection | PubMed |
description | This quality improvement project involved developing, implementing and evaluating an educational intervention using computer‐based training (CBT) and high‐fidelity simulation (HFS) to increase knowledge, confidence and compliance of nurses identifying sepsis. A one‐group pretest‐posttest design was used. Participants were nurses on a general ward of an academic medical centre. Study variables were measured over three timepoints: 2 weeks before, immediately after and 90 days after implementation. Data were collected from January 30, 2018, to June 22, 2018. SQUIRE 2.0 checklist for quality improvement reporting used. Improvements in knowledge of sepsis (F ((2,83)) = 18.14, p < 0.001, η (p) (2) = 0.30) and confidence in early recognition of sepsis (F ((2,83)) = 13.67, p < 0.001, η (p) (2) = 0.25) were found. Additionally, compliance with sepsis screening improved between the preimplementation and postimplementation period (χ (2) = 13.633, df = 1, p < 0.001). Overall, the nurses evaluated their experience with the CBT and HFS as strongly positive. When designing and implementing an educational intervention on sepsis, a process for follow‐up which provides reinforcement should be considered to retain nurses' knowledge. |
format | Online Article Text |
id | pubmed-10277437 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2023 |
publisher | John Wiley and Sons Inc. |
record_format | MEDLINE/PubMed |
spelling | pubmed-102774372023-06-20 Evaluation of computer‐based training and high‐fidelity simulation to improve early recognition of sepsis on the adult general ward Marsack, William J. De Gagne, Jennie C. Reid, Joseph Pakieser‐Reed, Katherine Francisco, Mary Ann Kang, Hee Sun Nurs Open Nurse Education Report This quality improvement project involved developing, implementing and evaluating an educational intervention using computer‐based training (CBT) and high‐fidelity simulation (HFS) to increase knowledge, confidence and compliance of nurses identifying sepsis. A one‐group pretest‐posttest design was used. Participants were nurses on a general ward of an academic medical centre. Study variables were measured over three timepoints: 2 weeks before, immediately after and 90 days after implementation. Data were collected from January 30, 2018, to June 22, 2018. SQUIRE 2.0 checklist for quality improvement reporting used. Improvements in knowledge of sepsis (F ((2,83)) = 18.14, p < 0.001, η (p) (2) = 0.30) and confidence in early recognition of sepsis (F ((2,83)) = 13.67, p < 0.001, η (p) (2) = 0.25) were found. Additionally, compliance with sepsis screening improved between the preimplementation and postimplementation period (χ (2) = 13.633, df = 1, p < 0.001). Overall, the nurses evaluated their experience with the CBT and HFS as strongly positive. When designing and implementing an educational intervention on sepsis, a process for follow‐up which provides reinforcement should be considered to retain nurses' knowledge. John Wiley and Sons Inc. 2023-03-06 /pmc/articles/PMC10277437/ /pubmed/36879447 http://dx.doi.org/10.1002/nop2.1718 Text en © 2023 The Authors. Nursing Open published by John Wiley & Sons Ltd. https://creativecommons.org/licenses/by-nc-nd/4.0/This is an open access article under the terms of the http://creativecommons.org/licenses/by-nc-nd/4.0/ (https://creativecommons.org/licenses/by-nc-nd/4.0/) License, which permits use and distribution in any medium, provided the original work is properly cited, the use is non‐commercial and no modifications or adaptations are made. |
spellingShingle | Nurse Education Report Marsack, William J. De Gagne, Jennie C. Reid, Joseph Pakieser‐Reed, Katherine Francisco, Mary Ann Kang, Hee Sun Evaluation of computer‐based training and high‐fidelity simulation to improve early recognition of sepsis on the adult general ward |
title | Evaluation of computer‐based training and high‐fidelity simulation to improve early recognition of sepsis on the adult general ward |
title_full | Evaluation of computer‐based training and high‐fidelity simulation to improve early recognition of sepsis on the adult general ward |
title_fullStr | Evaluation of computer‐based training and high‐fidelity simulation to improve early recognition of sepsis on the adult general ward |
title_full_unstemmed | Evaluation of computer‐based training and high‐fidelity simulation to improve early recognition of sepsis on the adult general ward |
title_short | Evaluation of computer‐based training and high‐fidelity simulation to improve early recognition of sepsis on the adult general ward |
title_sort | evaluation of computer‐based training and high‐fidelity simulation to improve early recognition of sepsis on the adult general ward |
topic | Nurse Education Report |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10277437/ https://www.ncbi.nlm.nih.gov/pubmed/36879447 http://dx.doi.org/10.1002/nop2.1718 |
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